activity
20122020
most citedLearning in Markov Decision Processes under Constraints

18 citations · 35 across the 13 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

eess.SY2020★ 2 cited

Fleet Sizing and Charger Allocation in Electric Vehicle Sharing Systems

Yuntian Deng, Abhishek Gupta, Ness B. Shroff

In this paper, we propose a closed queueing network model for performance analysis of electric vehicle sharing systems with a certain number of chargers in each neighborhood. Depen…

cs.LG2020★ 8 cited

ByGARS: Byzantine SGD with Arbitrary Number of Attackers

Jayanth Regatti, Hao Chen, Abhishek Gupta

We propose two novel stochastic gradient descent algorithms, ByGARS and ByGARS++, for distributed machine learning in the presence of any number of Byzantine adversaries. In these…

q-bio.SC2020

Steady-state fluctuations of a genetic feedback loop with fluctuating rate parameters using the unified colored noise approximation

James Holehouse, Abhishek Gupta, Ramon Grima

A common model of stochastic auto-regulatory gene expression describes promoter switching via cooperative protein binding, effective protein production in the active state and dilu…

cs.LG2020

Convergence of Recursive Stochastic Algorithms using Wasserstein Divergence

Abhishek Gupta, William B. Haskell

This paper develops a unified framework, based on iterated random operator theory, to analyze the convergence of constant stepsize recursive stochastic algorithms (RSAs). RSAs use…

cs.LG2020★ 18 cited

Learning in Markov Decision Processes under Constraints

Rahul Singh, Abhishek Gupta, Ness B. Shroff

We consider reinforcement learning (RL) in Markov Decision Processes in which an agent repeatedly interacts with an environment that is modeled by a controlled Markov process. At e…